Leader.skill open-sources a framework for turning vague requests into executable agent goals
数字生命卡兹克 · wechat · 2026-07-27
Leader.skill turns fuzzy requests into executable agent goals
The author open-sourced Leader.skill, a Skill designed to convert vague human intent into a clear, long-running goal spec that an agent can execute for hours or even days. The workflow is aimed at reducing long-horizon drift by forcing the user to define the target more precisely before execution starts.
Core idea
- The author argues that AI interaction has evolved from chat → task → goal.
- For long-running agents, the biggest failure mode is not execution speed but bad goal definition.
- A good goal should include not only the desired outcome, but also the harness: what the agent must not do.
The “goal seven questions” framework
The skill organizes goal definition around seven questions:
- Why — why do this task?
- Done — what does completion look like?
- Proof — what evidence counts as success?
- Anti — what shortcuts or cheating paths are forbidden?
- Bounds — what boundaries and limits apply?
- Trade-offs — what should be prioritized when constraints conflict?
- Unknowns — what should the agent do when it encounters uncertainty?
How it works in practice
- The skill can research the codebase and latest information, then ask up to 5 clarification questions about the user’s preferences.
- It then produces a structured goal brief that can be pasted into tools like Claude / Codex for long-horizon execution.
- The author says the process takes about 12 minutes and works well for planning, backend rewrites, and even company management or marketing planning.
Open source
The skill is open sourced here: github.com/KKKKhazix/khazix-skills/tree/main/leader.
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